Hi, I'm
Shubham Vishwakarma
AI Engineer | Tech Enthusiast
I am an AI Engineer who builds smart and reliable digital products. I combine machine learning with modern web development to create experiences that are clear, fast, and user friendly. I actively contribute to open source and enjoy building new AI projects that solve real world problems.
About Me
I'm an AI Engineer and a curious builder who loves shipping useful software.
I work across AI, modern web stacks, and systems minded tools. I build with TypeScript and JavaScript for the web, use Go where it fits, and I am growing my Rust skills for performance and reliable backends. I contribute to open source and enjoy starting new projects that blend ML with solid engineering.
I like collaborating with people who care about craft and impact. Lately I focus on generative AI, NLP, and products that feel fast, clear, and honest for real users.
Journey Through Time
A chronicle of my professional evolution and key milestones.
June 2021 - June 2025
June 2021 - June 2025
Bachelor of Technology
Pursuing BTech in Computer Science and Engineering at Sardar Patel Institute of Technology with a strong academic record. Focused on software development, computer science fundamentals, and hands-on projects, complemented by a Minor in Management from SP Jain Institute of Management and Research.
Jan 2025 - Jun 2025
Jan 2025 - Jun 2025
Cloud Engineer Intern
Built enterprise automation and infrastructure tooling for large scale operations, platform reliability, and data driven execution.
- ▹Spearheaded a server pre check automation platform using React.js and Python Flask to standardize RHEL system upgrade readiness across environments
- ▹Scaled upgrade operations for 9,000+ RHEL servers with secure SSH based compatibility diagnostics, deployed via NGINX and uWSGI
- ▹Engineered a server decommissioning automation workflow using Python, Bash, Ansible, and Paramiko to retire legacy deployments with compliance aligned updates
- ▹Delivered operational dashboards in Grafana and Power BI with CMDB integrated data pipelines for daily monitoring and decision support
May 2025 - Aug 2025
May 2025 - Aug 2025
Open Source Contributor (GSoC 2025)
Selected for Google Summer of Code 2025 to contribute to LLM tooling and observability in the Scala ecosystem.
- ▹Implemented tracing support in the LLM4S toolkit to capture execution flow, spans, and timing data for LLM applications
- ▹Built a UI to visualize trace outputs and help developers understand LLM interaction patterns
- ▹Collaborated with Scala Center mentors to design, develop, and document observability features for LLM apps
Sep 2023 - Feb 2024
Sep 2023 - Feb 2024
Technical Head
Full-stack development role focusing on building scalable web applications and maintaining cloud infrastructure.
- ▹Led the design and development of the committee’s website using React, ensuring user engagement and accessibility
- ▹Implemented React, Node.js, and MongoDB for a responsive, interactive interface, integrating various features seamlessly
- ▹Implemented CI/CD pipelines with GitHub Actions
Jan 2024 - April 2024
Jan 2024 - April 2024
Frontend Developer
Designed and developed the frontend of a website using modern web technologies, focusing on functionality, responsiveness, and user experience.
- ▹Contributed to the development of a responsive and user-friendly frontend using Next.js, Tailwind CSS, and TypeScript, ensuring a seamless and intuitive user experience
- ▹Collaborated with the team to ensure seamless integration and conducted thorough testing to deliver a polished and user-friendly product.
May 2024 - July 2024
May 2024 - July 2024
Full Stack Developer
Led the design and development of the entire website and cloud infrastructure for Pixavia Design Studio using modern full-stack technologies, with a strong focus on visual engagement and scalability.
- ▹Engineered a dynamic and immersive frontend experience using Next.js, Three.js, and Tailwind CSS, bringing visual storytelling to life
- ▹Built and integrated a scalable backend with Supabase for authentication, data handling, and storage
- ▹Set up modern DevOps tooling and optimized infrastructure for deployment, performance, and maintainability
Awards and Honors
Awards and Honors
Hackathon Achievements
Codeshastra X 2024
Ranked 4th out of 697 teams at DJS ACM's premier national hackathon, showcasing advanced problem-solving and full-stack development skills.
VoiceAI Hackathon 2024
Winner of the VoiceAI Hackathon organized by DaaS, December 2023. Built an AI-driven voice assistant with multilingual support and real-time transcription.
GNIT National Hackathon 2023
Achieved 1st Runner-Up position in a national-level hackathon by GNIT, showcasing creative problem-solving and rapid prototyping.
CSI SE Hackathon 2023
Winner of CSI SE Hackathon 2023 held at SPIT, recognized for building an impactful and user-centric application in a limited timeframe.
Projects
ClaimSentinel
ClaimSentinel is a modern AI-powered web app that streamlines insurance claim management by automating data extraction, validation, and fraud detection using OCR, machine learning, and LLMs. It ensures faster processing, accurate fraud identification, and enhanced customer support for a seamless and secure user experience.
Amazon Sambhav Hackathon 2024
End to end pipeline that uses Selenium, Tesseract OCR, and Gemini AI to scrape Instagram content and automate Amazon style product listings. Includes scalable Instagram and Amazon clones built with React.js, Tailwind CSS, Node.js, Express.js, and MongoDB so sellers can preview and publish listings with less manual work.
BeatBoxAi
BeatBox AI is an innovative AI-driven web application that analyzes and generates drum sequences using cutting-edge deep learning techniques. The application leverages Convolutional Neural Networks (CNNs) to classify drum sounds based on audio spectrograms and Recurrent Neural Networks (RNNs) for generating rhythmic drum sequences in real time.
MCQ Generator using NLP
The MCQ Generator project leverages advanced NLP techniques to automate the creation of multiple-choice questions. It uses abstractive summarization to condense content, keyword extraction to identify key concepts, and contextually relevant question generation to create meaningful questions. Additionally, distractors are crafted using word sense disambiguation, ensuring accurate and precise question formation for enhanced learning experiences.
EduMaster
EduMaster is a comprehensive Learning Management System (LMS) built with React, Redux, Ant Design, and Node.js to manage homework, assignments, quizzes, and user roles efficiently. It integrates MongoDB for data storage, Nodemailer for notifications, and bcrypt for secure user authentication. The system also includes performance tracking and a leaderboard, providing users with insightful metrics and fostering healthy competition.
GitHub Contributions
Contribution Activity
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